{"id":"W7017325486","doi":"","title":"Analysis of multivariate responses in patient reported outcome measures: missing data and auxiliary variables","year":2022,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Missing data; Imputation (statistics); Multivariate statistics; Latent variable model; Latent variable; Item response theory; Type I and type II errors; Multivariate analysis; Odds; Multivariate normal distribution","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008228502,0.0001987725,0.00109248,0.003730279,0.0002446947,0.00004596878,0.001375783,0.000182226,0.00007339844],"category_scores_gemma":[0.05062301,0.0002093564,0.000172869,0.005468824,0.00009197555,0.0002764341,0.0007001215,0.0003197952,5.70253e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008410708,"about_ca_system_score_gemma":0.0001715338,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01142411,"about_ca_topic_score_gemma":0.1053334,"domain_scores_codex":[0.9953226,0.001382468,0.0007565047,0.0008943672,0.001435024,0.0002090158],"domain_scores_gemma":[0.9825897,0.01320031,0.002248178,0.001518751,0.0003639211,0.00007910295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007126687,0.0001188427,0.9468247,0.00006093469,0.0007025434,0.0001756664,0.001935373,0.0005301018,0.0005040382,0.00003743723,0.0004085101,0.04798915],"study_design_scores_gemma":[0.0003208339,0.00005830032,0.9023636,0.00005758385,0.0007534018,0.000002567815,0.08557024,0.007817321,0.00001177323,0.0003492472,0.002513489,0.0001816449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948573,0.0006059583,0.001993781,0.0001515958,0.0003684708,0.0001940405,0.0002188935,0.0000214696,0.001588554],"genre_scores_gemma":[0.9703217,0.0001871873,0.02770338,0.00001487105,0.000009891643,4.462987e-7,0.0004667094,0.00001773018,0.001278152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09390933,"threshold_uncertainty_score":0.9951589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4032229500924355,"score_gpt":0.4118754889677734,"score_spread":0.008652538875337956,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}